Dataset Versions

v17

2024-03-09 1:40am

Generated on Mar 8, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 88%
1650Images
Valid Set 8%
150Images
Test Set 4%
73Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 480x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -8° and +8°
Saturation: Between -52% and +52%
Blur: Up to 0.1px
Noise: Up to 0.5% of pixels
Mosaic: Applied

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